For Immediate Release

OAKLAND, Calif. — February 4, 2013 —
Franz Inc.’s CEO, Dr. Jans Aasman, will present at the
Enterprise Data World Conference this April in San Diego,
CA. Enterprise Data World (EDW) is the business world's
most comprehensive educational event about data and information
management. Over five days, EDW presents a diverse schedule of
programming that addresses every level of proficiency, including
keynotes, workshops, tutorials, case studies, and discussions. EDW
provides a superior learning opportunity for Senior IT Executives,
Modelers, and Architects to meet and brainstorm with peers about
changes in the industry, new products and projects, and learn about
every facet of the data world at a single conference.

Enterprises have collected large bodies of data that describe
interactions between their customers. Consider the graph of telephone
calls and SMS for a Telco, connections within emails and P2P services
for an internet service provider, and links between payments by
customers of financial institutions. Relational databases are
fundamentally unfit to explore the graph within a social network and
Big Data solutions (Hadoop, etc) are usually not meant to work with
sparse graphs. The maturing capabilities of Graph Databases have made
them the optimal approach to mine these social networks. This
presentation will discuss applications of graph mining using two
datasets.

One data set contains 2 million telephone users over a period of
30 days. The data consists of telephone calls and SMS. In addition we
have for each person their physical location for most of the day. We
will show how we analyze the social, geospatial and temporal
information to create deep insights into the customer's behavior.

The second dataset is anonymized information from an on-line bank
in Asia. The data includes all payments from account to account along
with details about links to each other through IP addresses, goods
traded, location, etc. We will show how we can detect, in real time,
whether an account executing a transaction is part of a group of
accounts that is somehow linked to fraudulent activity.

About Dr. Aasman

Jans Aasman started his
career as an experimental and cognitive psychologist, earning his
PhD in cognitive science with a detailed model of car driver
behavior using Lisp and Soar. He has spent most of his professional
life in telecommunications research, specializing in intelligent
user interfaces and applied artificial intelligence projects. From
1995 to 2004, he was also a part-time professor in the Industrial
Design department of the Technical University of Delft. Jans is
currently the CEO of Franz Inc., the leading supplier of commercial,
persistent, and scalable RDF database products that provide the
storage layer for powerful reasoning and ontology modeling
capabilities for Semantic Web applications.

Franz's semantic
technology solutions help
bring Web 3.0
ideas to reality. The company is the leading supplier of commercial,
persistent and scalable Graph Database products. AllegroGraph is a
high-performance database capable of storing and querying billions
of RDF statements. The product provides solutions for customers to
combine unstructured and structured data using W3C standard RDF for
creating new Web 3.0 applications as well as identifying new
opportunities for Business Intelligence in the Enterprise.
AllegroGraph’s Activity Recognition package provides a
powerful means to aggregate and analyze data about individual and
organizational behaviors, preferences, relationships, plus spatial
and temporal linkages between individuals and groups. Franz
customers include Fortune 500 companies in the government, life
sciences and telecommunications industries. For more information,
visit franz.com.

All trademarks and
registered trademarks in this document are the properties of their
respective owners.